Abstract
In this article we proposed an improved SIFT-based object recognition methodology for robot applications. This methodology is employed for implementing a robot-head detection system, which is the main component of a robot gaze direction determination system. Gaze direction determination of robots is an important ability to be developed. It can be used for enhancing cooperative and competitive skills in situations where the robots interacting abilities are important, as for example, robot soccer. Experimental results of the implemented robot-head detection system are presented.
This research was funded by Millenium Nucleus Center for Web Research, Grant P04-067-F, Chile.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Lowe, D.G.: Distinctive Image Features from Scale-Invariant Keypoints. Int. Journal of Computer Vision 60(2), 91–110 (2004)
Brown, M., Lowe, D.G.: Invariant Features from Interest Point Groups. In: British Machine Vision Conference - BMVC 2002, Cardiff, Wales, September 2002, pp. 656–665 (2002)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Proc. 4th Alvey Vision Conf., Manchester, UK, pp. 147–151 (1988)
Schaffalitzky, F., Zisserman, A.: Automated location matching in movies. Computer Vision and Image Understanding 92(2-3), 236–264 (2003)
Mikolajczyk, K., Schmid, C.: Scale & Affine Invariant Interest Point Detectors. Int. Journal of Computer Vision 60(1), 63–96 (2004)
Beis, J., Lowe, D.G.: Shape Indexing Using Approximate Nearest-Neighbor Search in High-Dimensional Spaces. In: Proc. IEEE Conf. Comp. Vision Patt. Recog., pp. 1000–1006 (1997)
Lowe, D.G.: Local Features View Clustering for 3D Object Recognition. In: Proc. of the IEEE Conf. on Comp. Vision and Patt. Recog., Hawai, Dic., pp. 682–688 (2001)
Loncomilla, P., Ruiz-del-Solar, J.: Gaze direction determination of opponents and teammates in robot soccer. In: Bredenfeld, A., Jacoff, A., Noda, I., Takahashi, Y. (eds.) RoboCup 2005. LNCS (LNAI), vol. 4020, pp. 230–242. Springer, Heidelberg (2006) (accepted)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Loncomilla, P., Ruiz-del-Solar, J. (2005). Improving SIFT-Based Object Recognition for Robot Applications. In: Roli, F., Vitulano, S. (eds) Image Analysis and Processing – ICIAP 2005. ICIAP 2005. Lecture Notes in Computer Science, vol 3617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11553595_133
Download citation
DOI: https://doi.org/10.1007/11553595_133
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28869-5
Online ISBN: 978-3-540-31866-8
eBook Packages: Computer ScienceComputer Science (R0)